Elasticsearch集群数据迁移

Posted 2020-12-03

参考

https://www.elastic.co/guide/en/elasticsearch/reference/5.0/modules-snapshots.html
https://www.elastic.co/guide/en/elasticsearch/guide/current/_rolling_restarts.html
https://blog.csdn.net/u014431852/article/details/52905821

环境

阿里云elasticsearch集群5.0版本
微软云elasticsearch集群5.6版本

需求

需要把阿里云elasticsearch集群新老数据迁移到微软云elasticsearch集群

解决

新数据比较好弄数据源输出到新的微软云kafka集群然后微软云logstash消费新数据到新elasticsearch集群即可，关于老数据迁移比较麻烦，但官网也给了成熟的解决方案既是快照备份与还原，下面实施过程既是对实施过程的记录

实施

阿里云elasticsearch集群操作

一，先关闭数据平衡，注意一个一个的来，关一个节点的进程none,all循环一次，否则最后集群切片变动，恢复时间很长

1、修改elasticsearch.yml配置，添加如下
path.repo: /storage/esdata
设置索引备份快照路径
注意所有的master节点与data节点都需要配置

2、关闭自动平衡

curl -XPUT http://10.10.88.86:9200/_cluster/settings -d‘
{
"transient" : {
"cluster.routing.allocation.enable" : "none"
}
}‘
elasticsearch日志
[[email protected] storage]# tail -f es-cluster.log
[2018-05-11T15:24:15,605][INFO ][o.e.c.s.ClusterSettings ] [elk-es01] updating [cluster.routing.allocation.enable] from [ALL] to [none]

3、重启elasticseach

4、启动自动平衡

curl -XPUT http:///10.10.88.86:9200/_cluster/settings -d‘
{
"transient" : {
"cluster.routing.allocation.enable" : "all"
}
}‘

5、重复循环1、2、3、4操作在剩下几个节点，最好通过/_cat/health查看集群恢复100%后操作下一次，如果不关闭allocation重启elasticsearch集群恢复时间很长会从0%开始，关闭后从节点数减一除以总节点数比例开始恢复会块很多

二、设置快照基本配置

curl -XPUT http:///10.10.88.86:9200/_snapshot/client_statistics -d‘
{
"type": "fs",
"settings": {
"location": "/storage/esdata",
"compress": true,
"max_snapshot_bytes_per_sec" : "50mb",
"max_restore_bytes_per_sec" : "50mb"
}
}‘

注意错误
报错没有权限

store location [/storage/esdata] is not accessible on the node [{elk-es04}
{"error":{"root_cause":[{"type":"repository_verification_exception","reason":"[client_statistics] [[TgGhv7V1QGagb_PNDyXM-w, ‘RemoteTransportException[[elk-es04][/10.10.88.89:9300][internal:admin/repository/verify]]; nested: RepositoryVerificationException[[client_statistics] store location [/storage/esdata] is not accessible on the node [{elk-es04}{TgGhv7V1QGagb_PNDyXM-w}{7dxKWcF3QreKMZOKhTFgeg}{/10.10.88.89}{/10.10.88.89:9300}]]; nested: AccessDeniedException[/storage/esdata/tests-_u6h8XrJQ32dYPaC7zFC_w/data-TgGhv7V1QGagb_PNDyXM-w.dat];‘]]"}],"type":"repository_verification_exception","reason":"[client_statistics] [[TgGhv7V1QGagb_PNDyXM-w, ‘RemoteTransportException[[elk-es04][10.51.57.54:9300][internal:admin/repository/verify]]; nested: RepositoryVerificationException[[client_statistics] store location [/storage/esdata] is not accessible on the node [{elk-es04}{TgGhv7V1QGagb_PNDyXM-w}{7dxKWcF3QreKMZOKhTFgeg}{/10.10.88.89}{/10.10.88.89:9300}]]; nested: AccessDeniedException[/storage/esdata/tests-_u6h8XrJQ32dYPaC7zFC_w/data-TgGhv7V1QGagb_PNDyXM-w.dat];‘]]"},"status":500}

解决方法:
发现node1,node2,node3的es权限是500，node4的权限是501，最近比较背，感觉任何一个小问题都会遇到很多意想不到的地方，这不google了下https://discuss.elastic.co/t/why-does-creating-a-repository-fail/22697/16显然是权限问题，nfs这边有些策略，权衡利弊想短时间内解决问题
打算修改node4的es的uid和gid都为500，使其与前三个节点保持一致
https://blog.csdn.net/train006l/article/details/79007483
usermod -u 500 es
groupmod -g 500 es
注意usermod时需要es用户没有进程在活动，就是说elasticsearch进程需要关闭，重复上面的node,all操作，另外如果有其他用户占用了500 id，相应的修改且注意相关进程。
如果不放心也可手动修改，主要是/home/es下的权限及es数据权限
find / -user 501 -exec chown -h es {} ;
find / -group 501 -exec chown -h es {} ;

再次执行就不报错了：
[[email protected] ~]# curl -XPUT http:///10.10.88.86:9200/_snapshot/client_statistics -d‘

{
"type": "fs",
"settings": {
"location": "/storage/esdata",
"compress" : "true",
"max_snapshot_bytes_per_sec" : "50mb",
"max_restore_bytes_per_sec" : "50mb"
}
}‘
{"acknowledged":true}[[email protected] ~]#

查看配置

[[email protected] ~]# curl -XGET http:///10.10.88.86:9200/_snapshot/client_statistics?pretty
{
"client_statistics" : {
"type" : "fs",
"settings" : {
"location" : "/storage/esdata",
"max_restore_bytes_per_sec" : "50mb",
"compress" : "true",
"max_snapshot_bytes_per_sec" : "50mb"
}
}
}

三、给需要迁移的索引做快照

注意索引数量多但是数据量不大时可以统配多一些index，保证每次迁移的数据量不至于太大，比如每次100G以内，防止网络等其他原因导致传输中断等
[[email protected] ~]# curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.05.11 -d‘

{
"indices": "logstash-nginx-accesslog-2018.05.11"
}‘
{"accepted":true}[[email protected] ~]#

2018年5月份只是前10天

curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.05 -d‘
{
"indices": "logstash-nginx-accesslog-2018.05.0"
}‘
curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.04 -d‘
{
"indices": "logstash-nginx-accesslog-2018.04"
}‘
curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.03 -d‘
{
"indices": "logstash-nginx-accesslog-2018.03"
}‘curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.02 -d‘
{
"indices": "logstash-nginx-accesslog-2018.02"
}‘
curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.01 -d‘
{
"indices": "logstash-nginx-accesslog-2018.01"
}‘
curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.12 -d‘
{
"indices": "logstash-nginx-accesslog-2017.12"
}‘
curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.11 -d‘
{
"indices": "logstash-nginx-accesslog-2017.11*"
}‘

例子

[[email protected] ~]# curl -XPUT http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.11 -d‘
{
"indices": "logstash-nginx-accesslog-2017.11*"
}‘
{"accepted":true}[[email protected] ~]#
[[email protected] ~]# curl -XGET http://10.10.88.86:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.11?pretty
{
"snapshots" : [
{
"snapshot" : "logstash-nginx-accesslog-2017.11",
"uuid" : "PwPlyCbQQliZY3saog45LA",
"version_id" : 5000299,
"version" : "5.0.2",
"indices" : [
"logstash-nginx-accesslog-2017.11.20",
"logstash-nginx-accesslog-2017.11.17",
"logstash-nginx-accesslog-2017.11.24",
"logstash-nginx-accesslog-2017.11.30",
"logstash-nginx-accesslog-2017.11.22",
"logstash-nginx-accesslog-2017.11.18",
"logstash-nginx-accesslog-2017.11.15",
"logstash-nginx-accesslog-2017.11.16",
"logstash-nginx-accesslog-2017.11.27",
"logstash-nginx-accesslog-2017.11.26",
"logstash-nginx-accesslog-2017.11.19",
"logstash-nginx-accesslog-2017.11.21",
"logstash-nginx-accesslog-2017.11.28",
"logstash-nginx-accesslog-2017.11.23",
"logstash-nginx-accesslog-2017.11.25",
"logstash-nginx-accesslog-2017.11.29"
],
"state" : "IN_PROGRESS",
"start_time" : "2018-05-14T02:31:58.900Z",
"start_time_in_millis" : 1526265118900,
"failures" : [ ],
"shards" : {
"total" : 0,
"failed" : 0,
"successful" : 0
}
}
]
}

注意state 在IN_PROGERESS,变成SUCCESS时快照完成，注意SUCCESS时再执行下一次快照，如果index比较少时也可以一次性执行，不分开。

在微软云elasticsearch集群上操作

四、迁移数据到微软云elasticsearch集群

1、挂载nfs服务端

yum -y install nfs-utils
mkdir -p /storage/esdata
mount -t nfs 192.168.88.20:/data/es-data01/backup /storage/esdata/
df -h
所有master节点与node节点都需要挂载nfs
scp阿里云的数据包到微软云nfs服务端，注意需要先tar包，后解压缩，scp前需要open***打通
scp [email protected]:/storage/esdata/es20180514.tar.gz ./
scp [email protected]:/storage/esdata/indices20180514.tar.gz ./

2、修改新集群配置

1）、修改elasticsearch.yml配置，添加如下
path.repo: /storage/esdata
#设置索引备份快照路径
注意所有的master节点与data节点都需要配置
2）、关闭自动平衡操作同上

curl -XPUT http://192.168.88.24:9200/_cluster/settings -d‘
{
"transient" : {
"cluster.routing.allocation.enable" : "none"
}
}‘
sleep 3
/etc/init.d/elasticsearch restart
curl -XPUT http://192.168.88.24:9200/_cluster/settings -d‘
{
"transient" : {
"cluster.routing.allocation.enable" : "all"
}
}‘
curl http://192.168.88.20:9200/_cluster/health?pretty

3、恢复快照

1）、先建数据仓库

curl -XPUT http://192.168.88.20:9200/_snapshot/client_statistics -d‘
{
"type": "fs",
"settings": {
"location": "/storage/esdata",
"compress" : "true",
"max_snapshot_bytes_per_sec" : "50mb",
"max_restore_bytes_per_sec" : "50mb"
}
}‘

2）、再恢复index

[email protected] es]# curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.05/_restore
{"accepted":true}

依次执行：注意只有当前任务执行完了，才能正确执行下一个任务，开始index状态是yellow，等都变成green就正常了

curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.04/_restore
curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.03/_restore
curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.02/_restore
curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.01/_restore
curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.12/_restore
curl -XPOST http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2017.11/_restore

3）、最后检查状态

[[email protected] es]# curl -XGET http://192.168.88.20:9200/_snapshot/client_statistics/logstash-nginx-accesslog-2018.05/_status?pretty
{
"snapshots" : [
{
"snapshot" : "logstash-nginx-accesslog-2018.05",
"repository" : "client_statistics",
"uuid" : "VL9LHHUKTNCHx-xsVJD_eA",
"state" : "SUCCESS",
"shards_stats" : {
"initializing" : 0,
"started" : 0,
"finalizing" : 0,
"done" : 45,
"failed" : 0,
"total" : 45
},
"stats" : {
"number_of_files" : 4278,
"processed_files" : 4278,
"total_size_in_bytes" : 22892376668,
"processed_size_in_bytes" : 22892376668,
"start_time_in_millis" : 1526280514416,
"time_in_millis" : 505655
},
"indices" : {
"logstash-nginx-accesslog-2018.05.08" : {
"shards_stats" : {
"initializing" : 0,
"started" : 0,
"finalizing" : 0,
"done" : 5,
"failed" : 0,
"total" : 5
},
"stats" : {
"number_of_files" : 524,
"processed_files" : 524,
"total_size_in_bytes" : 2617117488,
"processed_size_in_bytes" : 2617117488,
"start_time_in_millis" : 1526280514420,
"time_in_millis" : 260276
},
"shards" : {
"0" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 67,
"processed_files" : 67,
"total_size_in_bytes" : 569057817,
"processed_size_in_bytes" : 569057817,
"start_time_in_millis" : 1526280514420,
"time_in_millis" : 68086
}
},
"1" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 124,
"processed_files" : 124,
"total_size_in_bytes" : 499182013,
"processed_size_in_bytes" : 499182013,
"start_time_in_millis" : 1526280514446,
"time_in_millis" : 62925
}
},
"2" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 109,
"processed_files" : 109,
"total_size_in_bytes" : 478469125,
"processed_size_in_bytes" : 478469125,
"start_time_in_millis" : 1526280698072,
"time_in_millis" : 76624
}
},
"3" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 124,
"processed_files" : 124,
"total_size_in_bytes" : 546347244,
"processed_size_in_bytes" : 546347244,
"start_time_in_millis" : 1526280653094,
"time_in_millis" : 103590
}
},
"4" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 100,
"processed_files" : 100,
"total_size_in_bytes" : 524061289,
"processed_size_in_bytes" : 524061289,
"start_time_in_millis" : 1526280514456,
"time_in_millis" : 69113
}
}
}
},
"logstash-nginx-accesslog-2018.05.09" : {
"shards_stats" : {
"initializing" : 0,
"started" : 0,
"finalizing" : 0,
"done" : 5,
"failed" : 0,
"total" : 5
},
"stats" : {
"number_of_files" : 425,
"processed_files" : 425,
"total_size_in_bytes" : 2436583034,
"processed_size_in_bytes" : 2436583034,
"start_time_in_millis" : 1526280514425,
"time_in_millis" : 505646
},
"shards" : {
"0" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 94,
"processed_files" : 94,
"total_size_in_bytes" : 462380313,
"processed_size_in_bytes" : 462380313,
"start_time_in_millis" : 1526280971948,
"time_in_millis" : 48123
}
},
"1" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 103,
"processed_files" : 103,
"total_size_in_bytes" : 506505727,
"processed_size_in_bytes" : 506505727,
"start_time_in_millis" : 1526280851761,
"time_in_millis" : 69562
}
},
"2" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 73,
"processed_files" : 73,
"total_size_in_bytes" : 506830214,
"processed_size_in_bytes" : 506830214,
"start_time_in_millis" : 1526280514425,
"time_in_millis" : 60508
}
},
"3" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 52,
"processed_files" : 52,
"total_size_in_bytes" : 494390868,
"processed_size_in_bytes" : 494390868,
"start_time_in_millis" : 1526280593311,
"time_in_millis" : 52673
}
},
"4" : {
"stage" : "DONE",
"stats" : {
"number_of_files" : 103,
"processed_files" : 103,
"total_size_in_bytes" : 466475912,
"processed_size_in_bytes" : 466475912,
"start_time_in_millis" : 1526280583835,
"time_in_millis" : 64169
}
}
}
}
}
}
]
}